Businesses across the globe are going through a paradigm shift, a digital revolution. Evolving customer expectations and changing market dynamics are pushing enterprises to transform their services into customer-focused, interactive solutions. To achieve this, it requires enterprises to rethink their operations strategy. Most enterprises that want to lead this revolution have started leveraging Robotic Process Automation (RPA) services and AI for IT Ops (AIOps).
What is Robotic Process Automation?
RPA is the process of automating rule-based, repetitive processes to free humans from monotonous jobs. Automation helps attain accuracy and efficiency, enhancing business agility. RPA tools also enable human employees to focus on more creative and strategic tasks, which translates into higher levels of employee satisfaction and productivity.
What is AI in IT Ops?
The use of automation to provide a complete solution for critical IT operational tasks can be defined as AIOps (ai for IT Operations). By combining big data and machine learning capabilities, AIOps supports essential IT operations. It does this by ingesting and correlating the ever-proliferating data generated by IT and other varied sources that impact IT functioning and business as a whole. A flexible and scalable tool, AIOps supports the coexistence of multiple data sources, techniques and technologies.
How does AI Ops work?
AIOps platforms ingest data from structured, semi-structured, and unstructured sources across complex IT environments and derive insights by applying machine learning and data analytics, known as Cloud Automation. By leveraging predictive analytics, AIOps can also predict future events and reduce the impact of anomalies or alleviate them entirely. This helps delay or avoid slowdowns, accelerating an enterprise’s digital transformation.
Implementing AIOps and Automation can help an enterprise manage massive volumes of data and analytics to derive actionable insights, reducing Mean Time to Repair (MTTR) issues and identify the root cause of the incidents that impact operations and business. This leads to organizations responding faster to periodic workload demands, compliance audits and security threats. Moreover, AIOps also helps organizations migrate their data onto the cloud, gain visibility and derive insights into resource allocation. This helps IT plan their resources diligently and plan budgets for required software and systems as per resource allocation.
How does AI in IT Ops help transform businesses?
Enterprise AI is increasingly becoming a norm to stay relevant and competitive in today’s digital era. Starting with automating critical processes, modern enterprises are implementing AI across verticals to leverage AI in its full optimum. We experience the presence of AI at every nook and corner of an enterprise. From the front desk to back end operations, enterprises are increasingly implementing AI for crucial processes such as document analysis and contracts analysis among others.
This dependence on AI for critical business processes puts IT organizations under tremendous pressure. It requires the IT division to be agile in providing support to businesses in their transformation journey with faster services, data management and reduced IT incidents. However, by leveraging AIOps and automation, IT organizations can overcome these challenges concerning network performance, and data explosion. This also helps IT organizations derive valuable insights and help in revenue generation making them a critical part of the business. They can do this by reducing downtime and provide actionable insights that boost business growth.
Is AI for IT Ops right for my organization?
IT is gradually becoming the backbone of every enterprise. Regardless of the organizations’ size, IT is playing a critical role in supporting businesses to lead their digital transformation journey. However, AIOps might not fit the needs of every organization, especially the small ones. In organizations where IT is centralized and does not impact business largely, investing in AI Ops might not be a great idea.
AI Ops works best for enterprises, which deal with huge sets of unstructured and semi-structured data and are seeking effective data management to derive actionable insights impacting business outcomes. However, before implementing Ai for IT operations in your organization, it is important to train and update employees with the latest technologies for ease of acceptance and adaptation. This will help implement AIOps successfully and result in greater outcomes.
How can I implement AI Ops in my organization?
The biggest objective of implementing AiOps in an organization is to eliminate silos and integrate data and systems to correlate data and provide actionable insights. Therefore, it is important to get buy-in from all stakeholders respectively. Secondly, you need to identify processes and use cases that need AI Ops and experiment at a smaller scale to be sure of AI Ops benefits. Once you have decided on the processes to implement AI Ops for, consider an AiOps platform that fits your requirements the best in terms of flexibility, compatibility, scalability, and cost.
A piece of advice – An integrated AIOps and automation solution can help IT organizations accelerate their digital transformation while enhancing customer experience and increasing profitability.
Summary
Leading analyst Gartner in its Top 10 Trends Impacting Infrastructure & Operations in 2019 report has listed RPA and AIOps as some of the revolutionary technology and research tools that will help overcome challenges faced by IT organizations in terms of operations as well as management. The success of a modern enterprise depends on its IT infrastructure and ability to collect, correlate and analyze data to derive actionable insights to stay relevant and leap ahead of the competition. So, if you want your organization to take the digital leap and stay ahead of the competition with the help of data but feel your IT organization is not ready to support you yet, AIOps is for you.
